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Bayesian Statistics 09302024
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1) Recap of posterior predictive distribution with variance known
-Discussion of posterior predictive when variance (or precision) is unknown
2) Confidence verses credibility
Confidence intervals/sets: converge intervals/sets with the property that repeating the process will result in intervals/sets that cover the truth with some frequency.
Credible intervals/sets: Belief Intervals
3) Example: normal
Credible and Confidence intervals are the same in this case
Next time: We’ll see an example where the Bayesian and Frequentist answers differ
-Discussion of posterior predictive when variance (or precision) is unknown
2) Confidence verses credibility
Confidence intervals/sets: converge intervals/sets with the property that repeating the process will result in intervals/sets that cover the truth with some frequency.
Credible intervals/sets: Belief Intervals
3) Example: normal
Credible and Confidence intervals are the same in this case
Next time: We’ll see an example where the Bayesian and Frequentist answers differ